Description: Further DetailsTitle: Data Algorithms with SparkCondition: NewSubtitle: Recipes and Design Patterns for Scaling Up using PySparkEAN: 9781492082385ISBN: 9781492082385Publisher: O'Reilly MediaFormat: PaperbackRelease Date: 04/30/2022Description: Apache Spark's speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required skill for data engineers and data scientists. With this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples using PySpark.In each chapter, author Mahmoud Parsian shows you how to solve a data problem with a set of Spark transformations and algorithms. You'll learn how to tackle problems involving ETL, design patterns, machine learning algorithms, data partitioning, and genomics analysis. Each detailed recipe includes PySpark algorithms using the PySpark driver and shell script.With this book, you will:Learn how to select Spark transformations for optimized solutionsExplore powerful transformations and reductions including reduceByKey(), combineByKey(), and mapPartitions()Understand data partitioning for optimized queriesBuild and apply a model using PySpark design patternsApply motif-finding algorithms to graph dataAnalyze graph data by using the GraphFrames APIApply PySpark algorithms to clinical and genomics dataLearn how to use and apply feature engineering in ML algorithmsUnderstand and use practical and pragmatic data design patternsLanguage: EnglishCountry/Region of Manufacture: USItem Height: 232mmItem Length: 178mmAuthor: Mahmoud ParsianGenre: Computing & InternetRelease Year: 2022 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Data Algorithms with Spark
Title: Data Algorithms with Spark
Subtitle: Recipes and Design Patterns for Scaling Up using PySpark
EAN: 9781492082385
ISBN: 9781492082385
Release Date: 04/30/2022
Release Year: 2022
Country/Region of Manufacture: US
Genre: Computing & Internet
Number of Pages: 435 Pages
Publication Name: Data Algorithms with Spark : Recipes and Design Patterns for Scaling Up Using Pyspark
Language: English
Publisher: O'reilly Media, Incorporated
Publication Year: 2022
Subject: Programming / Open Source, General, Data Processing, Programming Languages / Python
Item Height: 1.1 in
Type: Textbook
Item Weight: 26.8 Oz
Item Length: 9.1 in
Author: Mahmoud Parsian
Subject Area: Mathematics, Computers
Item Width: 7 in
Format: Trade Paperback
